MagicAnimate_colab.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/koji/llm_on_GoogleColab/blob/main/MagicAnimate_colab.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!git clone -b dev https://github.com/camenduru/MagicAnimate-hf"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7Js_7vlRxOpD",
        "outputId": "839734eb-22c8-4d7f-84f9-addc40f08341"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cloning into 'MagicAnimate-hf'...\n",
            "remote: Enumerating objects: 142, done.\u001b[K\n",
            "remote: Counting objects: 100% (142/142), done.\u001b[K\n",
            "remote: Compressing objects: 100% (94/94), done.\u001b[K\n",
            "remote: Total 142 (delta 34), reused 141 (delta 33), pack-reused 0\u001b[K\n",
            "Receiving objects: 100% (142/142), 5.50 MiB | 16.38 MiB/s, done.\n",
            "Resolving deltas: 100% (34/34), done.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install -q diffusers==0.21.4 transformers==4.32.0 accelerate==0.22.0 omegaconf==2.3.0 einops==0.6.1 av gradio\n",
        "!pip install -q https://download.pytorch.org/whl/cu118/xformers-0.0.22.post4%2Bcu118-cp310-cp310-manylinux2014_x86_64.whl"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4wMML2fexTcH",
        "outputId": "ec9bf3fb-3d8f-4d4f-ab4a-9633360a044e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.5/1.5 MB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m302.9/302.9 kB\u001b[0m \u001b[31m36.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m381.9/381.9 kB\u001b[0m \u001b[31m37.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m45.7/45.7 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m129.9/129.9 kB\u001b[0m \u001b[31m17.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m67.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m67.0/67.0 kB\u001b[0m \u001b[31m8.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m76.9/76.9 kB\u001b[0m \u001b[31m11.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "lida 0.0.10 requires kaleido, which is not installed.\n",
            "llmx 0.0.15a0 requires cohere, which is not installed.\n",
            "llmx 0.0.15a0 requires openai, which is not installed.\n",
            "llmx 0.0.15a0 requires tiktoken, which is not installed.\n",
            "tensorflow-probability 0.22.0 requires typing-extensions<4.6.0, but you have typing-extensions 4.8.0 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.4/211.4 MB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "VjYy0F2gZIPR",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1ac5013a-ee65-4e22-f955-fa02f0b60bcc"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The following additional packages will be installed:\n",
            "  libaria2-0 libc-ares2\n",
            "The following NEW packages will be installed:\n",
            "  aria2 libaria2-0 libc-ares2\n",
            "0 upgraded, 3 newly installed, 0 to remove and 15 not upgraded.\n",
            "Need to get 1,513 kB of archives.\n",
            "After this operation, 5,441 kB of additional disk space will be used.\n",
            "Selecting previously unselected package libc-ares2:amd64.\n",
            "(Reading database ... 120899 files and directories currently installed.)\n",
            "Preparing to unpack .../libc-ares2_1.18.1-1ubuntu0.22.04.2_amd64.deb ...\n",
            "Unpacking libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ...\n",
            "Selecting previously unselected package libaria2-0:amd64.\n",
            "Preparing to unpack .../libaria2-0_1.36.0-1_amd64.deb ...\n",
            "Unpacking libaria2-0:amd64 (1.36.0-1) ...\n",
            "Selecting previously unselected package aria2.\n",
            "Preparing to unpack .../aria2_1.36.0-1_amd64.deb ...\n",
            "Unpacking aria2 (1.36.0-1) ...\n",
            "Setting up libc-ares2:amd64 (1.18.1-1ubuntu0.22.04.2) ...\n",
            "Setting up libaria2-0:amd64 (1.36.0-1) ...\n",
            "Setting up aria2 (1.36.0-1) ...\n",
            "Processing triggers for man-db (2.10.2-1) ...\n",
            "Processing triggers for libc-bin (2.35-0ubuntu3.4) ...\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_0.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc.so.2 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbbind_2_5.so.3 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbb.so.12 is not a symbolic link\n",
            "\n",
            "/sbin/ldconfig.real: /usr/local/lib/libtbbmalloc_proxy.so.2 is not a symbolic link\n",
            "\n",
            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "33447e|\u001b[1;32mOK\u001b[0m  |    66KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/model_index.json\n",
            "\n",
            "Status Legend:\n",
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            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "530b13|\u001b[1;32mOK\u001b[0m  |   249MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/vae/diffusion_pytorch_model.bin\n",
            "\n",
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            "\n",
            "Download Results:\n",
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            "1fe858|\u001b[1;32mOK\u001b[0m  |    76KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/vae/config.json\n",
            "\n",
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            "Download Results:\n",
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            "42bbca|\u001b[1;32mOK\u001b[0m  |   207MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/unet/diffusion_pytorch_model.bin\n",
            "\n",
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            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
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            "d675f9|\u001b[1;32mOK\u001b[0m  |    90KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/unet/config.json\n",
            "\n",
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            "gid   |stat|avg speed  |path/URI\n",
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            "dbb2e1|\u001b[1;32mOK\u001b[0m  |   5.1MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/tokenizer/vocab.json\n",
            "\n",
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            "62613b|\u001b[1;32mOK\u001b[0m  |    98KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/tokenizer/tokenizer_config.json\n",
            "\n",
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            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
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            "f214fb|\u001b[1;32mOK\u001b[0m  |    65KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/tokenizer/special_tokens_map.json\n",
            "\n",
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            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "0b8248|\u001b[1;32mOK\u001b[0m  |   7.3MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/tokenizer/merges.txt\n",
            "\n",
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            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "8d6901|\u001b[1;32mOK\u001b[0m  |   280MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/text_encoder/pytorch_model.bin\n",
            "\n",
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            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
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            "44110e|\u001b[1;32mOK\u001b[0m  |    75KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/text_encoder/config.json\n",
            "\n",
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            "858b7d|\u001b[1;32mOK\u001b[0m  |    42KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/scheduler/scheduler_config.json\n",
            "\n",
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            "\u001b[0m\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
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            "d76df0|\u001b[1;32mOK\u001b[0m  |   146MiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/safety_checker/pytorch_model.bin\n",
            "\n",
            "Status Legend:\n",
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            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "ab478f|\u001b[1;32mOK\u001b[0m  |   658KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/safety_checker/config.json\n",
            "\n",
            "Status Legend:\n",
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            "\n",
            "Download Results:\n",
            "gid   |stat|avg speed  |path/URI\n",
            "======+====+===========+=======================================================\n",
            "ace47a|\u001b[1;32mOK\u001b[0m  |    41KiB/s|/content/MagicAnimate-hf/stable-diffusion-v1-5/feature_extractor/preprocessor_config.json\n",
            "\n",
            "Status Legend:\n",
            "(OK):download completed.\n"
          ]
        }
      ],
      "source": [
        "!apt -y install -qq aria2\n",
        "BaseModelUrl = \"https://huggingface.co/runwayml/stable-diffusion-v1-5\"\n",
        "BaseModelDir = \"/content/MagicAnimate-hf/stable-diffusion-v1-5\"\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/model_index.json -d {BaseModelDir} -o model_index.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/vae/diffusion_pytorch_model.bin -d {BaseModelDir}/vae -o diffusion_pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/vae/config.json -d {BaseModelDir}/vae -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/unet/diffusion_pytorch_model.bin -d {BaseModelDir}/unet -o diffusion_pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/unet/config.json -d {BaseModelDir}/unet -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/vocab.json -d {BaseModelDir}/tokenizer -o vocab.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/tokenizer_config.json -d {BaseModelDir}/tokenizer -o tokenizer_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/special_tokens_map.json -d {BaseModelDir}/tokenizer -o special_tokens_map.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/tokenizer/merges.txt -d {BaseModelDir}/tokenizer -o merges.txt\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/text_encoder/pytorch_model.bin -d {BaseModelDir}/text_encoder -o pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/text_encoder/config.json -d {BaseModelDir}/text_encoder -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/scheduler/scheduler_config.json -d {BaseModelDir}/scheduler -o scheduler_config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/resolve/main/safety_checker/pytorch_model.bin -d {BaseModelDir}/safety_checker -o pytorch_model.bin\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/safety_checker/config.json -d {BaseModelDir}/safety_checker -o config.json\n",
        "!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M {BaseModelUrl}/raw/main/feature_extractor/preprocessor_config.json -d {BaseModelDir}/feature_extractor -o preprocessor_config.json"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "%cd /content/MagicAnimate-hf\n",
        "!python app.py"
      ],
      "metadata": {
        "id": "LAFH574dHruo",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "65023714-fc7a-4f03-9c71-0b84ffdc0e61"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/MagicAnimate-hf\n",
            "The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.\n",
            "0it [00:00, ?it/s]\n",
            "2023-12-07 14:56:01.117008: E tensorflow/compiler/xla/stream_executor/cuda/cuda_dnn.cc:9342] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
            "2023-12-07 14:56:01.117072: E tensorflow/compiler/xla/stream_executor/cuda/cuda_fft.cc:609] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
            "2023-12-07 14:56:01.117115: E tensorflow/compiler/xla/stream_executor/cuda/cuda_blas.cc:1518] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
            "2023-12-07 14:56:02.629870: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT\n",
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            "temporal_attention.ckpt:  91% 4.67G/5.11G [01:02<00:02, 183MB/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
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            "\n",
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            "\n",
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            "temporal_attention.ckpt:  99% 5.04G/5.11G [01:07<00:00, 128MB/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "temporal_attention.ckpt:  99% 5.06G/5.11G [01:07<00:00, 101MB/s]\u001b[A\u001b[A\u001b[A\n",
            "\n",
            "\n",
            "temporal_attention.ckpt: 100% 5.11G/5.11G [01:08<00:00, 75.1MB/s]\n",
            "Fetching 7 files: 100% 7/7 [01:08<00:00,  9.80s/it]\n",
            "Initializing MagicAnimate Pipeline...\n",
            "loaded temporal unet's pretrained weights from /content/MagicAnimate-hf/stable-diffusion-v1-5/unet ...\n",
            "### missing keys: 560; \n",
            "### unexpected keys: 0;\n",
            "### Temporal Module Parameters: 417.1376 M\n",
            "The config attributes {'addition_embed_type': None, 'addition_embed_type_num_heads': 64, 'addition_time_embed_dim': None, 'conditioning_channels': 3, 'encoder_hid_dim': None, 'encoder_hid_dim_type': None, 'global_pool_conditions': False, 'num_attention_heads': None, 'transformer_layers_per_block': 1} were passed to ControlNetModel, but are not expected and will be ignored. Please verify your config.json configuration file.\n",
            "It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.\n",
            "It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.\n",
            "It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.\n",
            "It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.\n",
            "/content/MagicAnimate-hf/magicanimate/pipelines/pipeline_animation.py:103: FutureWarning: The configuration file of this scheduler: DDIMScheduler {\n",
            "  \"_class_name\": \"DDIMScheduler\",\n",
            "  \"_diffusers_version\": \"0.21.4\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"clip_sample\": true,\n",
            "  \"clip_sample_range\": 1.0,\n",
            "  \"dynamic_thresholding_ratio\": 0.995,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"rescale_betas_zero_snr\": false,\n",
            "  \"sample_max_value\": 1.0,\n",
            "  \"set_alpha_to_one\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"thresholding\": false,\n",
            "  \"timestep_spacing\": \"leading\",\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n",
            "/content/MagicAnimate-hf/magicanimate/pipelines/pipeline_animation.py:116: FutureWarning: The configuration file of this scheduler: DDIMScheduler {\n",
            "  \"_class_name\": \"DDIMScheduler\",\n",
            "  \"_diffusers_version\": \"0.21.4\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"clip_sample\": true,\n",
            "  \"clip_sample_range\": 1.0,\n",
            "  \"dynamic_thresholding_ratio\": 0.995,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"rescale_betas_zero_snr\": false,\n",
            "  \"sample_max_value\": 1.0,\n",
            "  \"set_alpha_to_one\": true,\n",
            "  \"steps_offset\": 1,\n",
            "  \"thresholding\": false,\n",
            "  \"timestep_spacing\": \"leading\",\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " has not set the configuration `clip_sample`. `clip_sample` should be set to False in the configuration file. Please make sure to update the config accordingly as not setting `clip_sample` in the config might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"clip_sample not set\", \"1.0.0\", deprecation_message, standard_warn=False)\n",
            "Initialization Done!\n",
            "Running on local URL:  http://127.0.0.1:7860\n",
            "Running on public URL: https://9c6022a4ab0fc4f0ae.gradio.live\n",
            "\n",
            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_hVuGUKPxdYO"
      },
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "gpuType": "T4",
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}